Applied Business Statistics
Course Number: Business Administration (BUAD) 310g
Required Units: 4.0
Level: Undergraduate
Contents: Introductory Statistics; Business Analytics; Data Analysis Labs;
Class notes and lecture slides can be accessed at blackboard – USC’s e-learning platform. Please look at the class syllabus and blackboard announcements for all other information. If you feel the need to email me regarding the class, please use the email address mentioned in the syllabus in blackboard. Please note that the email address for this class is different from my USC or Marshall email. This is a compulsory core class for all USC Marshall undergraduates. Class participation and attendance is mandatory.
Regression & Generalized Linear Models for Business Applications
Course Number: Graduate School of Business Administration (GSBA) 604
Required Units: 3.0
Level: Phd
Comments: Master's students with quantitative backgrounds and interests can also enroll
Contents: High-dimensional Methods, Predictive Modeling, Hierarchical Models
Applications: Marketing, Economics, Finance, Healthcare Analytics, Management Sciences
Fall 2018 class materials can be accessed at: Click Here. This class will involve coding in the popular statistical “R”. Accompanying R-Labs for the statistical methods taught in class will provided. This year I plan to incorporate some Bayesian large scale modeling approaches.
Introduction to Business Analytics
Course Number: Business Administration (BUAD) 425
Required Units: 2.0
Level: Undergraduate
Leveraging large corporate datasets; slice and dice data; dash boards; data mining and statistical tools; neural network; multiple and logistic regression; decision tree; gain inference and decision making; clustering.